Question-2: You are employed as a Senior Solution Cloud Architect by a fintech firm known as QuickFinance.com, and your business team and tech team are tasked with developing a solution that will serve as a wealth monitoring system for high-net-worth individuals (HNIs). Now, one of your customers has offered to host the application on his own personal Google Cloud account, which they have. And the company mandates that metric data from all apps be stored for a period of five years, so that it may be used for investigation in any potential future legal procedures. Which method should you choose to employ?
A. Ensure that the security team has access to the logs maintained by each Project.
B. Ensure that Stackdriver Monitoring is set up for each and every project, then export data to BigQuery.
C. Ensure that Stackdriver Monitoring is set up for all Projects and that the default retention policies are used.
D. Configure Stackdriver Monitoring for all Projects, and export to Google Cloud Storage
Correct Answer
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: 4 Explanation: Cloud storage is the best option for archiving data, thus Customers should utilise it. BigQuery is a data warehouse that has the capability to import data from Cloud Storage in the event that this becomes essential. Cloud storage is a better solution than BigQuery because of its capacity for long-term storage. Both Option 1 and Option 3 are immediately eliminated from consideration since neither one provides a solution that satisfies the criterion that the information be retained for 5 years. The primary distinction between options 2 and 4 is whether or not data should be stored in BigQuery or on the cloud. Option 4, which is the correct answer, is the best option since the primary issue is a long storing duration. Additionally, the fact that it must be retained for 5 years for future study further qualifies it, for instance by utilizing the Coldline storage class. The analysis of data is the primary function of BigQuery, despite the fact that it also functions as a low-cost storage option. In addition, logs that are kept in Cloud Storage are simple to transfer to BigQuery and allow for direct querying of the files that are kept in Cloud Storage, should either of these options become necessary in the future. If you have two options that may work (option 2 and option 4), you should always go with the one that would save you the most money. In light of the fact that options 2 and 4 (i.e., possible legal procedures) do not call for analysis on a daily basis, option D appears to be the most appropriate choice. In addition, it may be put into BQ so that it can be analyzed whenever that's required.